Using Azure Machine Learning to Predict Who Will Survive the Titanic

One of my “Introduction to Azure Machine Learning” talks demonstrates how to use Azure Machine Learning to make predictions. The example I use is predicting whether a passenger on the Titanic will survive, given information like their age, gender, class of ticket, ticket fare, etc. (You can download the Titanic dataset from Kaggle.) But these same principles can be used to predict if someone will make a purchase online or whether a patient will be readmitted to a hospital in the next 30 days.

In Part 1, I demonstrate how to upload a dataset into Azure Machine Learning Studio, explore the data and decide how to modify it, and use data cleaning modules to implement these changes.

Then, in Part 2, I train a model with a machine learning algorithm, deploy our model, and call our published model to get results.